Portale di Ateneo - En.Unibs.it

Borrowed courses

SMART SENSORS AND FIELDBUS

INGEGNERIA INFORMATICA

comune
SMART SENSORS AND FIELDBUS

INGEGNERIA ELETTRONICA

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INTERNET OF THINGS FOR INDUSTRY

INGEGNERIA ELETTRONICA

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INTERNET OF THINGS FOR INDUSTRY

INGEGNERIA INFORMATICA

comune

Other Courses of the Study Programme

Course year: 1

ADAPTIVE CONTROL SYSTEMS - 6 credits - Student's own choice
ANTENNAS - 6 credits - Student's own choice
APPLIED ECONOMICS IN ENGINEERING - 6 credits - Related/Supplementary
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH - 6 credits - Student's own choice
COMPLEX SYSTEMS ANALYSIS AND CONTROL - 6 credits - Student's own choice
CONDENSED MATTER PHYSICS - 6 credits - Related/Supplementary
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
DATA-DRIVEN SYSTEM MODELLING - 6 credits - Related/Supplementary
DIGITAL CONTROL SYSTEMS - 6 credits - Related/Supplementary
DIGITAL IMAGE PROCESSING - 6 credits - Student's own choice
DIGITAL SIGNAL PROCESSING - 6 credits - Student's own choice
DIGITAL SYSTEMS AND ARCHITECTURES - 6 credits
ELECTRICAL SYSTEMS FOR AUTOMATION - 6 credits - Student's own choice
ELECTRONIC CIRCUIT DESIGN - 9 credits - Characterising
ELECTRONIC DEVICES - 6 credits
ELECTRONIC SYSTEM DESIGN
Attendance grouping
12 credits - Raggruppamento di frequenza
ELECTRONICS AND EMERGING TECHNOLOGIES - 6 credits - Characterising
INDUSTRIAL AND SERVICE ROBOTS - 6 credits - Student's own choice
INTERNET OF THINGS FOR INDUSTRY - 6 credits - Student's own choice
INTRODUCTION TO CYBER SCURITY AND BIG DATA - 6 credits - Related/Supplementary
MEASUREMENT METHODS OF BIOMEDICAL DATA FOR HEALTH AND WEALTH APPLICATIONS - 6 credits - Student's own choice
METHODS OF ELECTRICAL NETWORK ANALYSIS - 6 credits
MICROWAVE ENGINEERING - 6 credits - Student's own choice
MOBILE PROGRAMMING - 6 credits - Student's own choice
MODELLING AND SIMULATION OF DYNAMIC SYSTEMS - 6 credits - Student's own choice
OPTICAL COMMUNICATION COMPONENTS - 6 credits - Student's own choice
OPTIMIZATION ALGORITHMS - 6 credits - Student's own choice
OPTOELECTRONICS - 6 credits
PHOTONICS - 6 credits - Student's own choice
PLC AND SCADA - 3 credits - Student's own choice
PRACTICAL CHEMISTRY FOR NANOTECHNOLOGY - 3 credits - Student's own choice
PRINCIPLES OF BIOLOGY AND BIOMEDICINE
Attendance grouping
6 credits - Raggruppamento di frequenza - Student's own choice
SCIENTIFIC COMPUTING - 6 credits - Related/Supplementary
VEHICULAR NETWORKS AND COOPERATIVE DRIVING - 6 credits - Student's own choice

Course year: 2

3D VISION SYSTEMS - 6 credits - Characterising
ANALOG INTEGRATED CIRCUIT DESIGN
Attendance grouping
9 credits - Raggruppamento di frequenza
ANTENNAS - 6 credits - Student's own choice
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH - 6 credits - Student's own choice
COMPLEX SYSTEMS ANALYSIS AND CONTROL - 6 credits - Student's own choice
CONDENSED MATTER PHYSICS - 6 credits - Related/Supplementary
CONNECTED SYSTEMS FOR AUTOMATION
Attendance grouping
9 credits - Raggruppamento di frequenza
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
DATA-DRIVEN SYSTEM MODELLING - 6 credits - Related/Supplementary
DIGITAL CONTROL SYSTEMS - 6 credits - Related/Supplementary
DIGITAL IMAGE PROCESSING - 6 credits - Student's own choice
DIGITAL SIGNAL PROCESSING - 6 credits - Student's own choice
DIGITAL SYSTEMS AND ARCHITECTURES - 6 credits
ELECTRICAL SYSTEMS FOR AUTOMATION - 6 credits - Student's own choice
ELECTRONIC DEVICES - 6 credits
ELECTRONICS FOR BIOMEDICAL APPLICATIONS - 3 credits - Student's own choice
FINAL THESIS - 18 credits - Language/Final Examination
INDUSTRIAL AND SERVICE ROBOTS - 6 credits - Student's own choice
INSTRUMENTATION ELECTRONICS, SENSORS AND MICROSYSTEMS - 9 credits - Characterising
INTEGRATED CIRCUIT DESIGN - 3 credits - Student's own choice
INTERNET OF THINGS FOR INDUSTRY - 6 credits - Student's own choice
INTRODUCTION TO CYBER SCURITY AND BIG DATA - 6 credits - Related/Supplementary
MEASUREMENT METHODS OF BIOMEDICAL DATA FOR HEALTH AND WEALTH APPLICATIONS - 6 credits - Student's own choice
METHODS OF ELECTRICAL NETWORK ANALYSIS - 6 credits - Student's own choice
MICROELECTRONICS - 6 credits - Student's own choice
MICROWAVE ENGINEERING - 6 credits - Student's own choice
MOBILE PROGRAMMING - 6 credits - Student's own choice
MODELLING AND SIMULATION OF DYNAMIC SYSTEMS - 6 credits - Student's own choice
OPTICAL COMMUNICATION COMPONENTS - 6 credits - Student's own choice
OPTIMIZATION ALGORITHMS - 6 credits - Student's own choice
OPTOELECTRONICS - 6 credits
PHOTONICS - 6 credits - Student's own choice
PLC AND SCADA - 3 credits
POWER ELECTRONICS - 6 credits - Characterising
PRACTICAL CHEMISTRY FOR NANOTECHNOLOGY - 3 credits - Student's own choice
SCIENTIFIC COMPUTING - 6 credits - Related/Supplementary
SENSORS - 9 credits - Characterising
VEHICULAR NETWORKS AND COOPERATIVE DRIVING - 6 credits - Student's own choice

INTERNET OF THINGS FOR INDUSTRY

Note

Information unavailable, as the teaching activity currently displayed will be provided in a subsequent academic year.

Single discipline educational activity

Course Sheet

Course code:

A005508

Academic Year of enrolment:

2020/2021

Academic Year of provision:

2020/2021

Type of Course:

Student's own choice

Degree:

Master's Degree Programme in ELECTRONICS ENGINEERING

Disciplinary Sector:

Electric and Electronic Measurement Systems

Language:

Italian

Grouping type:

Credits:

Programme Year:

Professor and Collaborators:

FERRARI Paolo Professor

Cycle:

First semester

Hours of classroom activity:

Hours of individual study:

Fundamentals of informatics, programming and boolean logic, and fundamentals of communications networks.

Educational Goals

The course is for students interested in the electronic instrumentation for industrial automation, in terms of factory and process automation, open to Industry 4.0. After a brief overview of the components of the automation at the field level, the module focuses on distributed architectures, the most widespread fieldbuses, the Real-time Ethernet, TSN, wireless technologies for industrial applications, and the interfaces to the Cloud.

Content

Internet of Things for Industry is a course that addresses the context of industrial automation from an Industry 4.0 perspective. Traditional field-level technologies for factory and process automation with intrinsic safety (e.g. wired and wireless fieldbus), alongside the latest protocols (e.g. MQTT) are analyzed. In particular, the path that from field buses led to Real-Time Ethernet, the introduction of wireless technologies, Time Sensitive Networking and notes on Cloud technologies are addressed. Finally, real-time applications for industry are considered, with reference to synchronization, and networks for smart grids and metering.

Extended Syllabus

The course is for students with basic training in electronic and information technology who want to know the main systems used in factory and process automation in the Industry 4.0 era.. Technologies discussed in this course include: Smart Sensing; Wireless Sensor Networks; Fieldbuses; Real Time Ethernet; and interfaces to the Cloud.
Internet of Things for Industry deals with more arguments:
a) intelligent sensors. Regulations. The networks of sensors and actuators. Application profiles.
b) fieldbus and real-time Ethernet. Ethernet networks for automation and real-time Ethernet networks. The software oriented solutions (e.g., Ethernet / IP, Profinet RT) and hardware oriented solutions (eg EtherCAT, Profinet IRT). The problem of synchronization and the standards IEEE1588 and TSN
c) wireless sensor networks. Architectures and technologies. Wireless sensor networks for measuring (metering) and automation. Solutions subGHz and at 2.4GHz. WirelessHART.
d) Architectures and technologies for Industry 4.0, protocols and methods for interfacing machines to the Cloud (eg MQTT, REST API, websocket applied to industrial controllers)

Recommended Bibliography

Slides of the course and material aid to the laboratory exercises are available on the website of the University. During the course will be recommended websites and reference books, including Bogdan M. Wilamowski (Editor), J. David Irwin (Editor), "The Industrial Electronics Handbook", Second Edition - Five Volume Set (Electrical Engineering Handbook) http://www.crcpress.com/product/isbn/9781439802892 http://www.amazon.com/Industrial-Communication-Systems-Electronics-Handb....
Klasen F., Oestreich V., Volz M. "Industrial Communication with Fieldbus and Ethernet", Publisher: Vde Verlag Gmbh (Nov. 2011), ISBN-10: 3800733587, ISBN-13: 978-3800733583
-G. Veneri, A. Capasso, "Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0" ISBN-13 978-1789537222

Methods of Provision

Conventional

Teaching Methods

The course consists of lectures and exercises in the classroom and in the laboratory, with experience of IoT and Industry 4.0 programming.

Assessment Methods

The course includes exercises and tests. The final examination consists of an oral discussion about the course content. The exam includes the presentation of topic chosen by the student.

Assessment:

Final Mark

Programme of Educational Activities

Start date of teaching period:

Monday, September 14, 2020

End date of teaching period:

Friday, December 18, 2020

Other Information

no other information